Neuro-fuzzy methods in cognitive systems of monitoring and forecasting of scientific and technological development of the country

doi:10.1016/j.sbspro.2014.12.507

Эндаумент фонд ТГУ!
Впиши своё имя в историю университета
- Сделать пожертвование -

2015 | Syryamkin, Maxim V.

Add to "Quick Collection"

Description	Size	Format
Neuro-fuzzy methods in cognitive systems of monitoring and forecasting of scientific and technological development of the country	657 KB	Adobe Acrobat PDF	Read	Download
DOI Доступ к ресурсу на сайте издателя			10.1016/j.sbspro.2014.12.507

#когнитивные системы

#научно-техническое развитие

#прогнозирование

Title: Neuro-fuzzy methods in cognitive systems of monitoring and forecasting of scientific and technological development of the country
Creator: Syryamkin, Vladimir I.
|
Gorbachev, Sergey V.
|
Koinov, S. A.
|
Koinova, G. N.
|
Syryamkina, E. G.
|
Syryamkin, Maxim V.
Date: 2015
DOI: 10.1016/j.sbspro.2014.12.507
Description: On the basis of many national and international research a neural network model of the trajectory of and techno-economic development, which allows to calculate the level and rate of fuel and energy is developed and the method of evaluating the effectiveness of technological innovation projects on a range of qualitative and quantitative parameters based on the construction of the neuro-fuzzy solution tree is proposed. The developed model, in addition to the promising project choosing, explains the decision making process in an understandable way, in the structure of the neuro-diagnostic decision rules “If ... then.” Thus, this technique allows to determine the significance of the indicators (trends) of the formation of new technological cycles and to identify the reference parameters of the social dimension of the economy. Data received as a result of the intellectual analysis can be used by experts to assess the efficiency of the automated calculation of the effectiveness of technology projects in order to predict the scientific and technological development of the country and make necessary recommendations to the political and socio-economic spheres. Research results can be used both by private and public companies and organizations. This will help to assess and predict future changes, give proper recommendations to scientific institutions in key areas: such as security and counter-terrorism; living systems; nanosystem and materials Industry, information and telecommunication systems, advanced weapons, military and special equipment, management natural resources, transport, aviation and space systems, energy and energy efficiency.

Relationships: Show Relationship Browser for this Object
collection(s): Факультет психологии | Факультет инновационных технологий
Identifier: смотреть в электронном каталоге НБ ТГУ
Type: статьи в журналах
Source: Procedia - Social and Behavioral Sciences. 2015. Vol. 166. P. 182-188
Language: eng

Created: 25-04-2018

1512 Visitors

1345 Hits

205 Downloads

Факультет инновационных технологий

Факультет психологии Neuro-fuzzy methods in cognitive systems of monitoring and forecasting of scientific and technological development of the country